Mayya Sharipova

Mayya Sharipova

Senior Software Engineer

Mayya Sharipova is a committer and PMC member on the Apache Lucene Project, and a software engineer at Elastic, where she works on improving Elasticsearch.

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Articles by Mayya Sharipova
One setting for production vector search: How vectordb_document mode tunes Elasticsearch automatically
Elasticsearch Labs

One setting for production vector search: How vectordb_document mode tunes Elasticsearch automatically

Benchmarks across four datasets show how one index setting applies bfloat16 vector quantization, cache preloading and parallel merges to improve vector search throughput and decrease storage.

Mayya Sharipova
Up to 12x Faster Vector Indexing in Elasticsearch with NVIDIA cuVS: GPU-acceleration Chapter 2
Elasticsearch Labs

Up to 12x Faster Vector Indexing in Elasticsearch with NVIDIA cuVS: GPU-acceleration Chapter 2

Discover how Elasticsearch achieves nearly 12x higher indexing throughput with GPU-accelerated vector indexing and NVIDIA cuVS.

Chris Hegarty
Elasticsearch sorting just got up to 900x faster
Elasticsearch Labs

Elasticsearch sorting just got up to 900x faster

Discover how we sped up Elasticsearch sorting with faster float/half_float sorting and latency improvements in integer sorting

Benjamin Trent
Speeding up merging of HNSW graphs
Elasticsearch Labs

Speeding up merging of HNSW graphs

Explore the work we’ve been doing to reduce the overhead of building multiple HNSW graphs, particularly reducing the cost of merging graphs.

Thomas Veasey
Elasticsearch Interval queries: why they are true positional queries & how to transition from Span
Elasticsearch Labs

Elasticsearch Interval queries: why they are true positional queries & how to transition from Span

Explains how Interval queries are true positional queries and how to transition to them from Span queries.

Mayya Sharipova
Making Elasticsearch and Lucene the best vector database: up to 8x faster and 32x efficient
Elasticsearch Labs

Making Elasticsearch and Lucene the best vector database: up to 8x faster and 32x efficient

Discover the recent enhancements and optimizations that notably improve vector search performance in Elasticsearch & Lucene vector database.

Mayya Sharipova
How to deploy NLP: Text embeddings and vector search
Elasticsearch Labs

How to deploy NLP: Text embeddings and vector search

Using text embeddings and vector similarity search, this blog explains how to run deep learning models for NLP & showcases Elasticsearch's vector search capability.

Mayya Sharipova
Speeding up multi-graph vector search
Elasticsearch Labs

Speeding up multi-graph vector search

Explore multi-graph vector search in Lucene and discover how sharing information between segment searches enhances search speed.

Mayya Sharipova
Introducing kNN Query: An expert way to do kNN search
Elasticsearch Labs

Introducing kNN Query: An expert way to do kNN search

Explore how the kNN query in Elasticsearch can be used and how it differs from top-level kNN search, including examples.

Mayya Sharipova